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Advanced Techniques in Knowledge Discovery and Data Mining (Advanced Information and Knowledge Processing) - Softcover
Inhaltsangabe
Presents the latest and most advanced tools and techniques available for data and web mining strategies with chapters written by leading world experts. Provides practicing engineers and scientists with case studies using most recent approaches for data and web mining strategies, and research students with in-depth tutorials on the topics covered. This book will be welcomed by researchers, engineers and developers involved in knowledge, and information management.
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Críticas
From the reviews:
"This book presents research on some of the recent advances in the field of DMKD, and provides a glimpse into some real-world applications. ... book starts with a preface by the editors, including background information as well as an overview of the book’s contents. ... The overall layout and the length of the volume ... appear to be satisfactory. ... postgraduate students and the faculty members in the business intelligence or DMKD fields would find this volume to be a useful addition to their libraries." (C. S. Arora, Computing Reviews, April, 2006)
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Clear and concise explanations to understand the learning paradigms.
Chapters written by leading world experts.
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Advanced Techniques in Knowledge Discovery and Data Mining (Advanced Information and Knowledge Processing)
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Paperback. Zustand: new. Paperback. Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: As the term suggests, data mining is the analysis of data to establish relationships and identify patterns [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2]. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781447157526
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts. 268 pp. Englisch. Bestandsnummer des Verkäufers 9781447157526
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Clear and concise explanations to understand the learning paradigmsChapters written by leading world expertsA highly practical bookClear and concise explanations to understand the learning paradigms. Chapters written b. Bestandsnummer des Verkäufers 11465314
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Advanced Techniques in Knowledge Discovery and Data Mining
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Zustand: New. Editor(s): Pal, Nikhil R. Series: Advanced Information and Knowledge Processing. Num Pages: 268 pages, biography. BIC Classification: UMB; UNH. Category: (G) General (US: Trade). Dimension: 235 x 155 x 14. Weight in Grams: 415. . 2014. Paperback. . . . . Bestandsnummer des Verkäufers V9781447157526
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Springer London, Springer London Dez 2014, 2014
ISBN 10: 1447157524
ISBN 13: 9781447157526
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM) A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: ¿As the term suggests, data mining is the analysis of data to establish relationships and identify patterns¿ [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2].Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch. Bestandsnummer des Verkäufers 9781447157526
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